You will get hands-on practice building and optimizing your own image classification models on a variety of public datasets. Prerequisites
: Basic SQL, familiarity with Python and TensorFlow If you don't know TensorFlow, please take this Coursera course before attending this bootcamp
1. Introductory Module
The rapid growth in high-resolution image data available and Image applications.
2. Linear and DNN Models
Image classification problem with a linear model in TensorFlow.
Tackling the same problem using a Deep Neural Network.
3. Convolutional Neural Networks (CNNs)
This module will introduce Convolutional Neural Networks.
4. Dealing with Data Scarcity
5. Going Deeper Faster
How to train deeper, more accurate networks and do such training faster.
6. Pre-built ML Models for Image Classification
Use Cloud Vision API and AutoML Vision.